2025-10-25 19:25:17 +02:00

583 lines
18 KiB
JavaScript

import fs from 'fs';
import chalk from 'chalk';
import boxen from 'boxen';
import Table from 'cli-table3';
import {
log as consoleLog,
readJSON,
writeJSON,
truncate,
isSilentMode,
flattenTasksWithSubtasks,
findProjectRoot
} from '../utils.js';
import {
getStatusWithColor,
startLoadingIndicator,
stopLoadingIndicator,
displayAiUsageSummary
} from '../ui.js';
import {
generateTextService,
generateObjectService
} from '../ai-services-unified.js';
import { COMMAND_SCHEMAS } from '../../../src/schemas/registry.js';
import {
getDebugFlag,
isApiKeySet,
hasCodebaseAnalysis
} from '../config-manager.js';
import { getPromptManager } from '../prompt-manager.js';
import { ContextGatherer } from '../utils/contextGatherer.js';
import { FuzzyTaskSearch } from '../utils/fuzzyTaskSearch.js';
import { tryUpdateViaRemote } from '@tm/bridge';
/**
* Update a task by ID with new information using the unified AI service.
* @param {string} tasksPath - Path to the tasks.json file
* @param {string|number} taskId - ID of the task to update (supports numeric, alphanumeric like HAM-123, and subtask IDs like 1.2)
* @param {string} prompt - Prompt for generating updated task information
* @param {boolean} [useResearch=false] - Whether to use the research AI role.
* @param {Object} context - Context object containing session and mcpLog.
* @param {Object} [context.session] - Session object from MCP server.
* @param {Object} [context.mcpLog] - MCP logger object.
* @param {string} [context.projectRoot] - Project root path.
* @param {string} [context.tag] - Tag for the task
* @param {string} [outputFormat='text'] - Output format ('text' or 'json').
* @param {boolean} [appendMode=false] - If true, append to details instead of full update.
* @returns {Promise<Object|null>} - The updated task or null if update failed.
*/
async function updateTaskById(
tasksPath,
taskId,
prompt,
useResearch = false,
context = {},
outputFormat = 'text',
appendMode = false
) {
const { session, mcpLog, projectRoot: providedProjectRoot, tag } = context;
const logFn = mcpLog || consoleLog;
const isMCP = !!mcpLog;
// Use report helper for logging
const report = (level, ...args) => {
if (isMCP) {
if (typeof logFn[level] === 'function') logFn[level](...args);
else logFn.info(...args);
} else if (!isSilentMode()) {
logFn(level, ...args);
}
};
try {
report('info', `Updating single task ${taskId} with prompt: "${prompt}"`);
// --- Input Validations ---
// Note: taskId can be a number (1), string with dot (1.2), or display ID (HAM-123)
// So we don't validate it as strictly anymore
if (taskId === null || taskId === undefined || String(taskId).trim() === '')
throw new Error('Task ID cannot be empty.');
if (!prompt || typeof prompt !== 'string' || prompt.trim() === '')
throw new Error('Prompt cannot be empty.');
// Determine project root first (needed for API key checks)
const projectRoot = providedProjectRoot || findProjectRoot();
if (!projectRoot) {
throw new Error('Could not determine project root directory');
}
if (useResearch && !isApiKeySet('perplexity', session)) {
report(
'warn',
'Perplexity research requested but API key not set. Falling back.'
);
if (outputFormat === 'text')
console.log(
chalk.yellow('Perplexity AI not available. Falling back to main AI.')
);
useResearch = false;
}
// --- BRIDGE: Try remote update first (API storage) ---
const remoteResult = await tryUpdateViaRemote({
taskId,
prompt,
projectRoot,
tag,
appendMode,
useResearch,
isMCP,
outputFormat,
report
});
// If remote handled it, return the result
if (remoteResult) {
return remoteResult;
}
// Otherwise fall through to file-based logic below
// --- End BRIDGE ---
// For file storage, ensure the tasks file exists
if (!fs.existsSync(tasksPath))
throw new Error(`Tasks file not found: ${tasksPath}`);
// --- End Input Validations ---
// --- Task Loading and Status Check (Keep existing) ---
const data = readJSON(tasksPath, projectRoot, tag);
if (!data || !data.tasks)
throw new Error(`No valid tasks found in ${tasksPath}.`);
// File storage requires a strict numeric task ID
const idStr = String(taskId).trim();
if (!/^\d+$/.test(idStr)) {
throw new Error(
'For file storage, taskId must be a positive integer. ' +
'Use update-subtask-by-id for IDs like "1.2", or run in API storage for display IDs (e.g., "HAM-123").'
);
}
const numericTaskId = Number(idStr);
const taskIndex = data.tasks.findIndex((task) => task.id === numericTaskId);
if (taskIndex === -1)
throw new Error(`Task with ID ${numericTaskId} not found.`);
const taskToUpdate = data.tasks[taskIndex];
if (taskToUpdate.status === 'done' || taskToUpdate.status === 'completed') {
report(
'warn',
`Task ${taskId} is already marked as done and cannot be updated`
);
// Only show warning box for text output (CLI)
if (outputFormat === 'text') {
console.log(
boxen(
chalk.yellow(
`Task ${taskId} is already marked as ${taskToUpdate.status} and cannot be updated.`
) +
'\n\n' +
chalk.white(
'Completed tasks are locked to maintain consistency. To modify a completed task, you must first:'
) +
'\n' +
chalk.white(
'1. Change its status to "pending" or "in-progress"'
) +
'\n' +
chalk.white('2. Then run the update-task command'),
{ padding: 1, borderColor: 'yellow', borderStyle: 'round' }
)
);
}
return null;
}
// --- End Task Loading ---
// --- Context Gathering ---
let gatheredContext = '';
try {
const contextGatherer = new ContextGatherer(projectRoot, tag);
const allTasksFlat = flattenTasksWithSubtasks(data.tasks);
const fuzzySearch = new FuzzyTaskSearch(allTasksFlat, 'update-task');
const searchQuery = `${taskToUpdate.title} ${taskToUpdate.description} ${prompt}`;
const searchResults = fuzzySearch.findRelevantTasks(searchQuery, {
maxResults: 5,
includeSelf: true
});
const relevantTaskIds = fuzzySearch.getTaskIds(searchResults);
const finalTaskIds = [
...new Set([taskId.toString(), ...relevantTaskIds])
];
if (finalTaskIds.length > 0) {
const contextResult = await contextGatherer.gather({
tasks: finalTaskIds,
format: 'research'
});
gatheredContext = contextResult.context || '';
}
} catch (contextError) {
report('warn', `Could not gather context: ${contextError.message}`);
}
// --- End Context Gathering ---
// --- Display Task Info (CLI Only - Keep existing) ---
if (outputFormat === 'text') {
// Show the task that will be updated
const table = new Table({
head: [
chalk.cyan.bold('ID'),
chalk.cyan.bold('Title'),
chalk.cyan.bold('Status')
],
colWidths: [5, 60, 10]
});
table.push([
taskToUpdate.id,
truncate(taskToUpdate.title, 57),
getStatusWithColor(taskToUpdate.status)
]);
console.log(
boxen(chalk.white.bold(`Updating Task #${taskId}`), {
padding: 1,
borderColor: 'blue',
borderStyle: 'round',
margin: { top: 1, bottom: 0 }
})
);
console.log(table.toString());
// Display a message about how completed subtasks are handled
console.log(
boxen(
chalk.cyan.bold('How Completed Subtasks Are Handled:') +
'\n\n' +
chalk.white(
'• Subtasks marked as "done" or "completed" will be preserved\n'
) +
chalk.white(
'• New subtasks will build upon what has already been completed\n'
) +
chalk.white(
'• If completed work needs revision, a new subtask will be created instead of modifying done items\n'
) +
chalk.white(
'• This approach maintains a clear record of completed work and new requirements'
),
{
padding: 1,
borderColor: 'blue',
borderStyle: 'round',
margin: { top: 1, bottom: 1 }
}
)
);
}
// --- Build Prompts using PromptManager ---
const promptManager = getPromptManager();
const promptParams = {
task: taskToUpdate,
taskJson: JSON.stringify(taskToUpdate, null, 2),
updatePrompt: prompt,
appendMode: appendMode,
useResearch: useResearch,
currentDetails: taskToUpdate.details || '(No existing details)',
gatheredContext: gatheredContext || '',
hasCodebaseAnalysis: hasCodebaseAnalysis(
useResearch,
projectRoot,
session
),
projectRoot: projectRoot
};
const variantKey = appendMode
? 'append'
: useResearch
? 'research'
: 'default';
report(
'info',
`Loading prompt template with variant: ${variantKey}, appendMode: ${appendMode}, useResearch: ${useResearch}`
);
let systemPrompt;
let userPrompt;
try {
const promptResult = await promptManager.loadPrompt(
'update-task',
promptParams,
variantKey
);
report(
'info',
`Prompt result type: ${typeof promptResult}, keys: ${promptResult ? Object.keys(promptResult).join(', ') : 'null'}`
);
// Extract prompts - loadPrompt returns { systemPrompt, userPrompt, metadata }
systemPrompt = promptResult.systemPrompt;
userPrompt = promptResult.userPrompt;
report(
'info',
`Loaded prompts - systemPrompt length: ${systemPrompt?.length}, userPrompt length: ${userPrompt?.length}`
);
} catch (error) {
report('error', `Failed to load prompt template: ${error.message}`);
throw new Error(`Failed to load prompt template: ${error.message}`);
}
// If prompts are still not set, throw an error
if (!systemPrompt || !userPrompt) {
throw new Error(
`Failed to load prompts: systemPrompt=${!!systemPrompt}, userPrompt=${!!userPrompt}`
);
}
// --- End Build Prompts ---
let loadingIndicator = null;
let aiServiceResponse = null;
if (!isMCP && outputFormat === 'text') {
loadingIndicator = startLoadingIndicator(
useResearch ? 'Updating task with research...\n' : 'Updating task...\n'
);
}
try {
const serviceRole = useResearch ? 'research' : 'main';
if (appendMode) {
// Append mode still uses generateTextService since it returns plain text
aiServiceResponse = await generateTextService({
role: serviceRole,
session: session,
projectRoot: projectRoot,
systemPrompt: systemPrompt,
prompt: userPrompt,
commandName: 'update-task',
outputType: isMCP ? 'mcp' : 'cli'
});
} else {
// Full update mode uses generateObjectService for structured output
aiServiceResponse = await generateObjectService({
role: serviceRole,
session: session,
projectRoot: projectRoot,
systemPrompt: systemPrompt,
prompt: userPrompt,
schema: COMMAND_SCHEMAS['update-task-by-id'],
objectName: 'task',
commandName: 'update-task',
outputType: isMCP ? 'mcp' : 'cli'
});
}
if (loadingIndicator)
stopLoadingIndicator(loadingIndicator, 'AI update complete.');
if (appendMode) {
// Append mode: handle as plain text
const generatedContentString = aiServiceResponse.mainResult;
let newlyAddedSnippet = '';
if (generatedContentString && generatedContentString.trim()) {
const timestamp = new Date().toISOString();
const formattedBlock = `<info added on ${timestamp}>\n${generatedContentString.trim()}\n</info added on ${timestamp}>`;
newlyAddedSnippet = formattedBlock;
// Append to task details
taskToUpdate.details =
(taskToUpdate.details ? taskToUpdate.details + '\n' : '') +
formattedBlock;
} else {
report(
'warn',
'AI response was empty or whitespace after trimming. Original details remain unchanged.'
);
newlyAddedSnippet = 'No new details were added by the AI.';
}
// Update description with timestamp if prompt is short
if (prompt.length < 100) {
if (taskToUpdate.description) {
taskToUpdate.description += ` [Updated: ${new Date().toLocaleDateString()}]`;
}
}
// Write the updated task back to file
data.tasks[taskIndex] = taskToUpdate;
writeJSON(tasksPath, data, projectRoot, tag);
report('success', `Successfully appended to task ${taskId}`);
// Display success message for CLI
if (outputFormat === 'text') {
console.log(
boxen(
chalk.green(`Successfully appended to task #${taskId}`) +
'\n\n' +
chalk.white.bold('Title:') +
' ' +
taskToUpdate.title +
'\n\n' +
chalk.white.bold('Newly Added Content:') +
'\n' +
chalk.white(newlyAddedSnippet),
{ padding: 1, borderColor: 'green', borderStyle: 'round' }
)
);
}
// Display AI usage telemetry for CLI users
if (outputFormat === 'text' && aiServiceResponse.telemetryData) {
displayAiUsageSummary(aiServiceResponse.telemetryData, 'cli');
}
// Return the updated task
return {
updatedTask: taskToUpdate,
telemetryData: aiServiceResponse.telemetryData,
tagInfo: aiServiceResponse.tagInfo
};
}
// Full update mode: Use structured data directly
const updatedTask = aiServiceResponse.mainResult.task;
// --- Task Validation/Correction (Keep existing logic) ---
if (!updatedTask || typeof updatedTask !== 'object')
throw new Error('Received invalid task object from AI.');
if (!updatedTask.title || !updatedTask.description)
throw new Error('Updated task missing required fields.');
// Preserve ID if AI changed it
if (updatedTask.id !== taskId) {
report('warn', `AI changed task ID. Restoring original ID ${taskId}.`);
updatedTask.id = taskId;
}
// Preserve status if AI changed it
if (
updatedTask.status !== taskToUpdate.status &&
!prompt.toLowerCase().includes('status')
) {
report(
'warn',
`AI changed task status. Restoring original status '${taskToUpdate.status}'.`
);
updatedTask.status = taskToUpdate.status;
}
// Fix subtask IDs if they exist (ensure they are numeric and sequential)
if (updatedTask.subtasks && Array.isArray(updatedTask.subtasks)) {
let currentSubtaskId = 1;
updatedTask.subtasks = updatedTask.subtasks.map((subtask) => {
// Fix AI-generated subtask IDs that might be strings or use parent ID as prefix
const correctedSubtask = {
...subtask,
id: currentSubtaskId, // Override AI-generated ID with correct sequential ID
dependencies: Array.isArray(subtask.dependencies)
? subtask.dependencies
.map((dep) =>
typeof dep === 'string' ? parseInt(dep, 10) : dep
)
.filter(
(depId) =>
!Number.isNaN(depId) &&
depId >= 1 &&
depId < currentSubtaskId
)
: [],
status: subtask.status || 'pending'
};
currentSubtaskId++;
return correctedSubtask;
});
report(
'info',
`Fixed ${updatedTask.subtasks.length} subtask IDs to be sequential numeric IDs.`
);
}
// Preserve completed subtasks (Keep existing logic)
if (taskToUpdate.subtasks?.length > 0) {
if (!updatedTask.subtasks) {
report(
'warn',
'Subtasks removed by AI. Restoring original subtasks.'
);
updatedTask.subtasks = taskToUpdate.subtasks;
} else {
const completedOriginal = taskToUpdate.subtasks.filter(
(st) => st.status === 'done' || st.status === 'completed'
);
completedOriginal.forEach((compSub) => {
const updatedSub = updatedTask.subtasks.find(
(st) => st.id === compSub.id
);
if (
!updatedSub ||
JSON.stringify(updatedSub) !== JSON.stringify(compSub)
) {
report(
'warn',
`Completed subtask ${compSub.id} was modified or removed. Restoring.`
);
// Remove potentially modified version
updatedTask.subtasks = updatedTask.subtasks.filter(
(st) => st.id !== compSub.id
);
// Add back original
updatedTask.subtasks.push(compSub);
}
});
// Deduplicate just in case
const subtaskIds = new Set();
updatedTask.subtasks = updatedTask.subtasks.filter((st) => {
if (!subtaskIds.has(st.id)) {
subtaskIds.add(st.id);
return true;
}
report('warn', `Duplicate subtask ID ${st.id} removed.`);
return false;
});
}
}
// --- End Task Validation/Correction ---
// --- Update Task Data (Keep existing) ---
data.tasks[taskIndex] = updatedTask;
// --- End Update Task Data ---
// --- Write File and Generate (Unchanged) ---
writeJSON(tasksPath, data, projectRoot, tag);
report('success', `Successfully updated task ${taskId}`);
// await generateTaskFiles(tasksPath, path.dirname(tasksPath));
// --- End Write File ---
// --- Display CLI Telemetry ---
if (outputFormat === 'text' && aiServiceResponse.telemetryData) {
displayAiUsageSummary(aiServiceResponse.telemetryData, 'cli'); // <<< ADD display
}
// --- Return Success with Telemetry ---
return {
updatedTask: updatedTask, // Return the updated task object
telemetryData: aiServiceResponse.telemetryData, // <<< ADD telemetryData
tagInfo: aiServiceResponse.tagInfo
};
} catch (error) {
// Catch errors from generateTextService
if (loadingIndicator) stopLoadingIndicator(loadingIndicator);
report('error', `Error during AI service call: ${error.message}`);
if (error.message.includes('API key')) {
report('error', 'Please ensure API keys are configured correctly.');
}
throw error; // Re-throw error
}
} catch (error) {
// General error catch
// --- General Error Handling (Keep existing) ---
report('error', `Error updating task: ${error.message}`);
if (outputFormat === 'text') {
console.error(chalk.red(`Error: ${error.message}`));
// ... helpful hints ...
if (getDebugFlag(session)) console.error(error);
process.exit(1);
} else {
throw error; // Re-throw for MCP
}
return null; // Indicate failure in CLI case if process doesn't exit
// --- End General Error Handling ---
}
}
export default updateTaskById;